Seeking a skilled Senior Consultant to drive data modernization and migration initiatives. This role focuses on developing robust data assets and leveraging cutting-edge technologies to transform our clients' data landscapes.

Join our dynamic engineering team and contribute to impactful data solutions. This is an excellent opportunity for experienced professionals looking to make a significant impact.

Design and implement scalable data architectures and models. Develop sophisticated data pipelines using PySpark and Spark on the Databricks platform. Utilize Databricks notebooks and Unity Catalog for efficient data management and governance.

Create detailed star and snowflake schema-based data models. Ensure database design best practices are followed. Write efficient Python scripts for various data-related tasks.

Requires a minimum of 5 years of comprehensive experience in data engineering and architecture. Demonstrated expertise in data modeling, database design, and building data pipelines is essential.

Proficiency in Python for scripting and web programming is a must. Hands-on experience with Databricks notebooks and Unity Catalog is critical. A strong background in designing and implementing scalable data solutions using PySpark/Spark is required.